Advertisement
Published in:
2009 | OriginalPaper | Chapter
A Geometric PDE for Interpolation of M-Channel Data
Authors : Frank Lenzen, Otmar Scherzer
Published in: Scale Space and Variational Methods in Computer Vision
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
We propose a partial differential equation to be used for interpolating
M
-channel data, such as digital color images. This equation is derived via a semi-group from a variational regularization method for minimizing displacement errors. For actual image interpolation, the solution of the PDE is projected onto a space of functions satisfying interpolation constraints. A comparison of the test results with standard and state-of-the-art interpolation algorithms shows the competitiveness of this approach.